Data positions

Position 1 : Senior Data Architect

Key Responsibilities

Design and maintain enterprise-wide data architecture, data models, and data integration frameworks.

Define data strategies, architecture roadmaps, and target-state data platforms aligned with business objectives.

Lead the design of modern data ecosystems including data lakes, data warehouses, lakehouses, and real-time data platforms.

Collaborate with business, application, analytics, and engineering teams to translate requirements into scalable data solutions.

Establish data governance, metadata management, master data management, and data quality standards.

Provide architectural oversight for ETL/ELT, data migration, integration, and modernization initiatives.

Evaluate and recommend technologies, tools, and architectural patterns to improve scalability, security, and performance.

Ensure compliance with enterprise security, privacy, and regulatory requirements.

Mentor data engineers and technical teams while driving architecture best practices.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

10+ years of experience in Data Management, Data Engineering, or Data Architecture roles.

Strong experience designing enterprise-scale data platforms and data architectures.

Expertise in data modeling, data integration, data warehousing, and data governance.

Experience with cloud platforms such as Azure, AWS, or GCP.

Strong understanding of modern data architectures including Data Lake, Lakehouse, Data Mesh, and Data Fabric concepts.

Excellent stakeholder management and solution design skills.

Preferred Qualifications

Experience supporting AI, Advanced Analytics, and Machine Learning initiatives.

Knowledge of enterprise architecture frameworks and governance practices.

Experience in highly regulated industries such as Life Sciences, Healthcare, Banking, or Manufacturing.

Relevant certifications in cloud, data, or enterprise architecture domains.

Position 2: Data Architect

Key Responsibilities

Design and maintain enterprise-wide data architecture, data models, and data integration frameworks.

Define data strategies, architecture roadmaps, and target-state data platforms aligned with business objectives.

Lead the design of modern data ecosystems including data lakes, data warehouses, lakehouses, and real-time data platforms.

Collaborate with business, application, analytics, and engineering teams to translate requirements into scalable data solutions.

Establish data governance, metadata management, master data management, and data quality standards.

Provide architectural oversight for ETL/ELT, data migration, integration, and modernization initiatives.

Evaluate and recommend technologies, tools, and architectural patterns to improve scalability, security, and performance.

Ensure compliance with enterprise security, privacy, and regulatory requirements.

Mentor data engineers and technical teams while driving architecture best practices.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

10+ years of experience in Data Management, Data Engineering, or Data Architecture roles.

Strong experience designing enterprise-scale data platforms and data architectures.

Expertise in data modeling, data integration, data warehousing, and data governance.

Experience with cloud platforms such as Azure, AWS, or GCP.

Strong understanding of modern data architectures including Data Lake, Lakehouse, Data Mesh, and Data Fabric concepts.

Excellent stakeholder management and solution design skills.

Preferred Qualifications

Experience supporting AI, Advanced Analytics, and Machine Learning initiatives.

Knowledge of enterprise architecture frameworks and governance practices.

Experience in highly regulated industries such as Life Sciences, Healthcare, Banking, or Manufacturing.

Relevant certifications in cloud, data, or enterprise architecture domains.

Position 3: Data Architect + Engineering Lead

Key Responsibilities - Snowflake + Cortex Data Architect & Data Engineer Lead

Design and maintain enterprise-wide data architecture, data models, and data integration frameworks.

Define data strategies, architecture roadmaps, and target-state data platforms aligned with business objectives.

Lead the design of modern data ecosystems including data lakes, data warehouses, lakehouses, and real-time data platforms.

Collaborate with business, application, analytics, and engineering teams to translate requirements into scalable data solutions.

Establish data governance, metadata management, master data management, and data quality standards.

Provide architectural oversight for ETL/ELT, data migration, integration, and modernization initiatives.

Evaluate and recommend technologies, tools, and architectural patterns to improve scalability, security, and performance.

Ensure compliance with enterprise security, privacy, and regulatory requirements.

Mentor data engineers and technical teams while driving architecture best practices.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

10+ years of experience in Data Management, Data Engineering, or Data Architecture roles.

Strong experience designing enterprise-scale data platforms and data architectures.

Expertise in data modeling, data integration, data warehousing, and data governance.

Experience with cloud platforms such as Azure, AWS, or GCP.

Strong understanding of modern data architectures including Data Lake, Lakehouse, Data Mesh, and Data Fabric concepts.

Excellent stakeholder management and solution design skills.

Preferred Qualifications

Experience supporting AI, Advanced Analytics, and Machine Learning initiatives.

Knowledge of enterprise architecture frameworks and governance practices.

Experience in highly regulated industries such as Life Sciences, Healthcare, Banking, or Manufacturing.

Relevant certifications in cloud, data, or enterprise architecture domains.